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Catastrophic Interference in Reinforcement Learning: A Solution Based on
  Context Division and Knowledge Distillation
v1v2 (latest)

Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
1 September 2021
Tiantian Zhang
Xueqian Wang
Bin Liang
Bo Yuan
    OffRL
ArXiv (abs)PDFHTMLGithub (4★)

Papers citing "Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation"

13 / 13 papers shown
Continual Knowledge Adaptation for Reinforcement Learning
Continual Knowledge Adaptation for Reinforcement Learning
Jinwu Hu
Zihao Lian
Z. Wen
Chenghao Li
Guohao Chen
Xutao Wen
Bin Xiao
Mingkui Tan
CLLKELM
242
3
0
22 Oct 2025
LiBOG: Lifelong Learning for Black-Box Optimizer Generation
LiBOG: Lifelong Learning for Black-Box Optimizer GenerationInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Jiyuan Pei
Yi Mei
Jialin Liu
Mengjie Zhang
266
5
0
19 May 2025
Solving Continual Offline RL through Selective Weights Activation on
  Aligned Spaces
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces
Jifeng Hu
Sili Huang
Li Shen
Zhejian Yang
Shengchao Hu
Shisong Tang
Hechang Chen
Yi Chang
Dacheng Tao
Lichao Sun
OffRL
257
2
0
21 Oct 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
Yan Liu
Bin Guo
Nuo Li
Yasan Ding
Zhouyangzi Zhang
Zhiwen Yu
470
6
0
09 Jul 2024
Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting
  in Serial Federated Learning
Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting in Serial Federated Learning
Haoyue Song
Jiacheng Wang
Liansheng Wang
245
2
0
17 May 2024
Replay-enhanced Continual Reinforcement Learning
Replay-enhanced Continual Reinforcement Learning
Tiantian Zhang
Kevin Zehua Shen
Zichuan Lin
Bo Yuan
Xueqian Wang
Xiu Li
Deheng Ye
CLLOffRL
259
9
0
20 Nov 2023
Leveraging Knowledge Distillation for Efficient Deep Reinforcement
  Learning in Resource-Constrained Environments
Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained Environments
Guanlin Meng
129
2
0
16 Oct 2023
Continual Visual Reinforcement Learning with A Life-Long World Model
Continual Visual Reinforcement Learning with A Life-Long World Model
Wendong Zhang
Wendong Zhang
Geng Chen
Siyu Gao
Yunbo Wang
Xiaokang Yang
Yunbo Wang
CLL
422
3
0
12 Mar 2023
Matching DNN Compression and Cooperative Training with Resources and
  Data Availability
Matching DNN Compression and Cooperative Training with Resources and Data AvailabilityIEEE Conference on Computer Communications (INFOCOM), 2022
F. Malandrino
G. Giacomo
Armin Karamzade
Marco Levorato
C. Chiasserini
302
14
0
02 Dec 2022
Dynamics-Adaptive Continual Reinforcement Learning via Progressive
  Contextualization
Dynamics-Adaptive Continual Reinforcement Learning via Progressive ContextualizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Tiantian Zhang
Zichuan Lin
Yuxing Wang
Deheng Ye
Qiang Fu
Wei Yang
Xueqian Wang
Bin Liang
Bo Yuan
Xiu Li
CLL
247
20
0
01 Sep 2022
Beyond Supervised Continual Learning: a Review
Beyond Supervised Continual Learning: a Review
Benedikt Bagus
A. Gepperth
Timothée Lesort
BDLCLL
311
14
0
30 Aug 2022
A Study of Continual Learning Methods for Q-Learning
A Study of Continual Learning Methods for Q-LearningIEEE International Joint Conference on Neural Network (IJCNN), 2022
Benedikt Bagus
A. Gepperth
CLLOffRL
305
7
0
08 Jun 2022
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and PerspectivesJournal of Artificial Intelligence Research (JAIR), 2020
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLLOffRL
665
401
0
25 Dec 2020
1
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